Papers by Eric Holgate
Picking Apart Story Salads (D18-1)
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| Challenge: | Story salads are mixtures of multiple documents that can be generated at scale . they exhibit challenging inference problems, and require global context and coherence . |
| Approach: | They propose to generate salads that exhibit challenging inference problems by exploiting the Wikipedia hierarchy . they propose a task where the objective is to group sentences from the same narratives . |
| Outcome: | The proposed task is based on a novel, challenging clustering task using Wikipedia . it is difficult to identify relevant information and assemble it into coherent narratives . |
Why Swear? Analyzing and Inferring the Intentions of Vulgar Expressions (D18-1)
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| Challenge: | Vulgar words are employed in language use for several different functions, including expressing aggression, signaling group identity or the informality of the communication. |
| Approach: | They present a dataset of 7,800 tweets with six categories of vulgarity in which all instances of vulgar words are annotated with one of the six categories. |
| Outcome: | The proposed model can predict the category of a vulgar word based on the immediate context it appears in with 67.4 macro F1 across six classes. |
Expressively vulgar: The socio-dynamics of vulgarity and its effects on sentiment analysis in social media (C18-1)
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| Challenge: | Vulgarity is a common linguistic expression and is used to perform several linguistic functions. |
| Approach: | They analyze vulgarity using tweets from users with known demographics and sentiment ratings for vulgar tweets to study sentiment analysis performance. |
| Outcome: | The proposed model can boost sentiment analysis performance by analyzing vulgar tweets and tweet sentiment ratings. |